• DocumentCode
    3168742
  • Title

    Coreference detection in XML metadata

  • Author

    Szymczak, Marcin ; Zadrozny, Slawomir ; De Tre, Guy

  • Author_Institution
    Syst. Res. Inst., Warsaw, Poland
  • fYear
    2013
  • fDate
    24-28 June 2013
  • Firstpage
    1354
  • Lastpage
    1359
  • Abstract
    Preserving data quality is an important issue in data collection management. One of the crucial issues hereby is the detection of duplicate objects (called coreferent objects) which describe the same entity, but in different ways. In this paper we present a method for detecting coreferent objects in metadata, in particular in XML schemas. Our approach consists in comparing the paths from a root element to a given element in the schema. Each path precisely defines the context and location of a specific element in the schema. Path matching is based on the comparison of the different steps of which paths are composed. The uncertainty about the matching of steps is expressed with possibilistic truth values and aggregated using the Sugeno integral. The discovered coreference of paths can help for determining the coreference of different XML schemas.
  • Keywords
    XML; data acquisition; fuzzy set theory; integral equations; meta data; pattern matching; Sugeno integral; XML metadata; XML schemas; coreferent object detection; data collection management; data quality preservation; duplicate object detection; path matching; possibilistic truth values; Context; Databases; Educational institutions; Lattices; Q measurement; Uncertainty; XML;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    IFSA World Congress and NAFIPS Annual Meeting (IFSA/NAFIPS), 2013 Joint
  • Conference_Location
    Edmonton, AB
  • Type

    conf

  • DOI
    10.1109/IFSA-NAFIPS.2013.6608598
  • Filename
    6608598